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xlnet-base-cased-finetuned-squad-v2 – AI Model by BaoKien | AlphaNeural AI
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BaoKien
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xlnet-base-cased-finetuned-squad-v2
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transformers
pytorch
tensorboard
xlnet
question-answering
generated_from_trainer
squad_v2
mit
endpoints_compatible
us
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xlnet-base-cased-finetuned-squad-v2
This model is a fine-tuned version of
xlnet-base-cased
on the squad_v2 dataset. It achieves the following results on the evaluation set:
Loss: 0.3111
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.2719
1.0
8265
0.2361
0.172
2.0
16530
0.2484
0.1236
3.0
24795
0.3111
Framework versions
Transformers 4.30.2
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
